PhilSci Archive

Confirmation via Analogue Simulation: A Bayesian Analysis

Dardashti, Radin and Hartmann, Stephan and Thebault, Karim P Y and Winsberg, Eric (2015) Confirmation via Analogue Simulation: A Bayesian Analysis. [Preprint]

WarningThere is a more recent version of this item available.
[img] PDF
ArchiveVersion.pdf

Download (233kB)

Abstract

Analogue simulation is a novel mode of scientific inference found increasingly within modern physics, and yet all but neglected in the philosophical literature. Experiments conducted upon a table-top ‘source system’ are taken to provide insight into features of an inaccessible ‘target system’, based upon a syntactic isomorphism between the relevant modelling frameworks. An important example is the use of acoustic ‘dumb hole’ systems to simulate gravitational black holes. In a recent paper it was argued that there exists circumstances in which confirmation via analogue simulation can obtain; in particular when the robustness of the isomorphism is established via universality arguments. The current paper supports these claims via an analysis in terms of Bayesian confirmation theory.


Export/Citation: EndNote | BibTeX | Dublin Core | ASCII/Text Citation (Chicago) | HTML Citation | OpenURL
Social Networking:
Share |

Item Type: Preprint
Creators:
CreatorsEmailORCID
Dardashti, RadinRadin.Dardashti@lrz.uni-muenchen.de
Hartmann, StephanS.Hartmann@lmu.de
Thebault, Karim P Ykarim.thebault@gmail.com
Winsberg, Ericeric.winsberg@gmail.com
Keywords: Simulation, Analogue Reasoning, Models, Confirmation, Black Holes, Hawking Radiation
Subjects: General Issues > Confirmation/Induction
Specific Sciences > Physics > Cosmology
General Issues > Experimentation
General Issues > Models and Idealization
Specific Sciences > Physics > Quantum Field Theory
Specific Sciences > Physics > Relativity Theory
Depositing User: Mr. Radin Dardashti
Date Deposited: 28 Dec 2015 14:25
Last Modified: 28 Dec 2015 14:25
Item ID: 11830
URI: http://philsci-archive.pitt.edu/id/eprint/11830

Available Versions of this Item

Monthly Views for the past 3 years

Monthly Downloads for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item